LungQ

by Thirona BV  · Based in Netherlands → — AI-Powered Lung Image Analysis for Precision Medicine
Pulmonology Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

Thirona’s LungQ™ is an advanced AI-powered software solution designed for comprehensive analysis of thoracic CT scans. Developed for specialized clinical care, interventional pulmonology, and pharmaceutical research, LungQ provides quantitative support for the diagnosis, evaluation, treatment planning, and follow-up examinations of various lung diseases. The platform offers reproducible CT values for pulmonary tissue, aiding clinicians in achieving more accurate and precise diagnoses and timely disease management. LungQ’s robust modular AI technology is extensively validated across diverse diseases and patient populations, delivering precise quantitative insights to support translational research, drug development, and minimally invasive interventional therapies. It plays a crucial role in advancing precision medicine by enabling sensitive detection of disease progression and treatment response in chronic lung conditions. The software has received multiple FDA 510(k) clearances and CE marking, underscoring its commitment to quality and regulatory compliance.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered analysis of thoracic CT scans
  • Identification and volumetric quantification of anatomical lung structures (lobes, segments, subsegments, airways, fissures)
  • One-page report with severity scores for emphysematous lung tissue and interlobar fissure completeness
  • Visual representation of abnormal tissue for easy interpretation
  • Reproducible CT values for pulmonary tissue
  • Segmentation and isolation of sub-compartments
  • Volumetric analysis, density evaluations, fissure evaluation, and reporting tools
  • Quantitative assessment of pulmonary perfusion distribution (LungQu00ae PXT)
  • Automated quantification of airway-occluding mucus plugs (LungQu00ae MP)
  • Fully automated quantification of the entire bronchial tree (LungQu00ae BA)

Use Cases

  • Diagnosis and follow-up of pulmonary diseases (e.g., COPD, emphysema, asthma, cystic fibrosis, COVID-19, lung cancer)
  • Treatment planning and monitoring disease progression
  • Guiding bronchoscopic navigation and surgical lung interventions
  • Translational research and drug development for respiratory diseases
  • Patient phenotyping and selection for clinical trials
  • Assessment of bronchial wall thickness, dilatation, and narrowing

What Physicians Need to Know

DICOM Support & Standards
LungQ supports standard .DICOM format, including both enhanced and slice-based DICOM. Its outputs are DICOM compliant, utilizing DICOM Segmentation (SEG) and Structured Reporting (SR) objects for encoding annotations and measurements, ensuring compatibility with standard medical imaging systems.
PACS Integration Method
Designed for seamless integration into existing PACS and clinical workflows. It can be deployed via AI marketplaces or distribution platforms, or as a standalone web-based solution, aiming to provide results directly within the PACS for efficient interpretation.
Reading Room Workflow Impact
Enhances precision, accuracy, and efficiency in lung interventions and diagnosis. It aims to reduce interpretation time by automating quantitative analysis and supporting personalized treatment planning, potentially leading to reduced clinical workload and improved radiologist satisfaction.
AI Model Architecture (deep learning approach)
Utilizes advanced deep-learning algorithms for high-precision anatomical segmentation and quantitative analysis of lung structures and disease patterns, including advanced lobe-to-subsegmental segmentation. LungQ 4 incorporates deep learning for perfusion approximation analysis (PXT) and enhanced peripheral airway segmentation.
Processing Speed (per study)
LungQ is reported to reduce analysis time for cystic fibrosis images from days to minutes. The general processing time for LungQ Clinical Suite is stated as > 10 minutes per study.
FDA Clearance Pathway (510k/De Novo)
LungQ has received multiple 510(k) clearances from the U.S. FDA, including version 1.1.0 in 2018, version 3.0.0 in January 2024, and version 4 in October 2025, expanding its capabilities for clinical use.
Supported Modalities (CT/MRI/X-ray/US)
Primarily supports AI-powered analysis of volumetric thoracic CT scans, specifically 3D, thin-slice acquisitions, typically in a supine position with axial reconstructions.
Sensitivity & Specificity Data
While specific sensitivity and specificity figures for LungQ itself are not explicitly provided, the platform is described as having 'consistently high performance' and being 'extensively validated across diseases and patient populations' in over 200 global publications.
RSNA/ACR Validation
LungQ has been 'extensively validated across diseases and patient populations' and in 'over 200 global publications'. This extensive validation supports its utility in clinical practice, aligning with the high standards for evidence-based practice promoted by organizations like RSNA and ACR.
Physician Tip

Leverage LungQ for precise quantitative analysis of CT scans to aid in diagnosis, treatment planning, and monitoring of chronic lung diseases. Its detailed segmentation capabilities can be particularly useful for complex cases requiring accurate anatomical mapping and volumetric assessment. Integrate its output into your reporting workflow for objective evidence and improved efficiency, especially for conditions like COPD, emphysema, and for guiding interventional pulmonology procedures. The ability to track disease progression over time with reproducible measurements is a significant benefit for personalized patient management.

LungQ is designed for flexible integration into existing radiology IT environments, supporting direct PACS integration or deployment via AI marketplaces/distribution platforms. To maximize workflow benefits, ensure your PACS and IT infrastructure are configured for DICOM compliance and efficient data exchange. This will allow for seamless transfer of CT images for analysis and the return of DICOM-compliant results and reports into the radiologist's workflow.

Details

Category Radiology & Imaging AI
Pricing Contact for pricing — Contact for pricing
DeploymentCloud, on-premise (locally on dedicated hardware), or via AI marketplace/distribution platform
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

LungQ has received multiple FDA 510(k) clearances, including for versions 3.0.0 (January 2024) and 4 (October 2025), for AI-powered analysis of thoracic CT scans to support diagnosis, treatment planning, and follow-up examinations by providing reproducible CT values and advanced segmentation capabilities.

Integrations
EHR Not specified
Specialties Pulmonology, Radiology

What the Web Says

LungQ, developed by Thirona, is an AI-powered software designed for the analysis of thoracic CT scans, aiding physicians in the diagnosis, documentation, and treatment planning of various lung conditions, including lung cancer and cystic fibrosis. It has received FDA 510(k) clearance for several versions, indicating its compliance with regulatory standards for medical devices. The software aims to provide quantitative support for diagnosis and follow-up examinations, enabling more personalized and minimally invasive lung care.

Overall: Positive

Strengths

  • Provides accurate disease progression management with consistent and reproducible measurements across time.
  • Offers detailed tissue analysis and identifies key structures like lobes, segments, subsegments, airways, and fissures.
  • Guides bronchoscopic navigation with precision, enabling safer and more effective procedures.
  • Supports physicians in the diagnosis and documentation of pulmonary tissue images from CT thoracic datasets.
  • Aids in more precise diagnosis compared to clinical standard lung function testing.
  • Enables personalized treatment planning and monitoring of disease progression.

Limitations

  • No specific cons for LungQ were found in the provided search results.
  • General concerns about AI in healthcare include limitations in generalizability, interpretability, and regulatory compliance.

Based on reviews from: PMC, Healio, Medical Product Outsourcing, AuntMinnie, The Silicon Review, arXiv

Last updated: 2026-07-19

Ratings & Reviews

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Press & Coverage

Respiratory Therapy
FDA Clears AI Software for Lung Segment Analysis in CT Scans
Thirona received FDA 510(k) clearance for LungQ (v3.0.0), an AI-based clinical software that automatically segments pulmonary segments and subsegments in CT scans, aiding in the diagnosis and documentation of pulmonary tissue images.
2024-01
AuntMinnie
Thirona receives FDA clearance for LungQ 4 software - AuntMinnie
Thirona received FDA 510(k) clearance for LungQ 4, the latest version of its AI-powered CT analysis software, which offers enhanced peripheral airway segmentation, estimation of chronic perfusion defects, and improved post-treatment detection of endobronchial implants.
2025-10
Imaging Technology News
Thirona Announces Partnerships to Enhance AI-based Lung Image Analysis
Following FDA approval for LungQ (v3.0.0) in January 2024, Thirona announced multiple partnerships to enhance its AI-based lung image analysis, aiming to guide bronchoscopic navigation and enable more personalized treatments.
2024-06
Medical Imaging
FDA OKs Latest Version of Thirona's LungQ Software - Medical Imaging
The FDA has approved the latest version of Thirona's LungQ software, LungQ 4, which provides enhanced airway segmentation analysis and detailed insights for lung assessment.
2025-11
Diagnostic Imaging
FDA Clears Updated AI-Powered Software for Chest CT Lung Assessment
LungQ 4 software, with expanded capabilities in AI-powered lung assessment using chest CT, received 510(k) clearance from the FDA, enabling radiologists to visualize distal airways and providing quantitative insights for targeted treatment.
2025-10
Thirona (Company News)
Thirona Receives FDA Clearance for LungQu00ae 4 Software, Expanding AI-Powered Capabilities in Lung Image Analysis for the U.S. Market
Thirona announced FDA 510(k) clearance for LungQ 4, building on version 3's advanced lung segmentation with enhanced peripheral airway segmentation, estimated chronic perfusion defects, and post-treatment detection of endobronchial implants.
2025-10
Cardiovascular News
Artificial intelligence could enable life-saving early diagnosis and advance the treatment of pulmonary hypertension - Cardiovascular News
Thirona introduced LungQ AVX, a new AI-based algorithm for pulmonary artery-vein phenotyping, which allows for objective quantification of vascular abnormalities from non-contrast CT scans, potentially enabling early diagnosis of pulmonary hypertension.
2023-05
BMC Pulmonary Medicine (via PMC)
Fibrotic and vascular abnormalities quantified by an AI-based model are associated with outcomes in patients with idiopathic pulmonary fibrosis - PMC
A study published in BMC Pulmonary Medicine utilized LungQ to quantify interstitial and vascular lung features in patients with idiopathic pulmonary fibrosis, finding that these imaging markers were correlated with physiological values and predictive of mortality.
2025-10

Videos

Product demos, reviews, and walkthroughs for LungQ.

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Frequently Asked Questions

LungQ is designed to integrate into the workflow by providing AI-powered analysis of thoracic CT scans, offering quantitative support for diagnosis, treatment planning, and follow-up examinations. It helps radiologists quantify medical imaging and disease phenotypes to deliver structured analyses to lung doctors, thereby enhancing precision and efficiency in procedures like bronchoscopic navigation and surgical interventions.
LungQ supports the analysis of various lung conditions by automatically segmenting pulmonary segments and subsegments, airways, and fissures from CT thoracic datasets. It provides insights for diagnosing and managing diseases such as COPD and lung cancer, enabling personalized treatment planning and monitoring of disease progression.
Yes, LungQ (v3.0.0) has received US Food and Drug Administration (FDA) 510(k) clearance, with its initial version cleared in 2018. While the search results confirm FDA clearance, specific details on patient data privacy protocols (e.g., HIPAA compliance) are not explicitly detailed in the provided snippets, though generally, medical AI tools must adhere to stringent data protection regulations.
Other AI solutions for lung analysis include those for lung nodule detection like Annalise.ai, Lunit, Milvue, Oxipit, and Infervision, which have shown superior performance compared to human readers in some studies. LungQ differentiates itself by offering comprehensive anatomical segmentation and quantitative analysis for specialized clinical care and interventional pulmonology, including features like estimating chronic perfusion defects and quantifying mucus plugs.
AI software for radiology often utilizes subscription-based or pay-per-use models, with pricing varying based on factors like workstation, user, or site licensing. Reimbursement for AI solutions typically depends on their ability to generate novel diagnostic information or significantly impact downstream healthcare costs, rather than simply duplicating physician work.
General limitations of AI in medical imaging include reliance on high-quality, diverse training data, with potential for bias if datasets are insufficient or unrepresentative, leading to reduced accuracy in real-world settings. AI algorithms can also be complex and lack transparency, making it challenging to understand their decision-making processes.

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Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
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